Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information

Danette McGilvray

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商品描述

In today's world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.

In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents a systematic, proven approach to improving and creating data and information quality within the enterprise. She describes a methodology that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. Her trademarked "Ten Steps" approach applies to all types of data and to all types of organizations.Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions.

Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations.

* Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.

商品描述(中文翻譯)

在當今即時全球溝通和快速變化的趨勢下,即時且可靠的資訊對於有效競爭至關重要。最近的研究顯示,數據質量問題每年給企業造成數十億美元的損失,低質量的數據與浪費和低效率、與客戶和供應商之間的信譽損害以及組織無法做出明智決策有關。

在《執行數據質量項目:十步驟打造優質數據和可信資訊》一書中,丹妮特·麥吉爾維(Danette McGilvray)提出了一種系統性、經過驗證的方法來改善和創建企業內的數據和資訊質量。她描述了一種結合了理解資訊質量的概念框架和改善和創建資訊質量的工具、技術和指導的方法論。她的商標化的「十步驟」方法適用於所有類型的數據和組織。

數據質量問題每年給企業帶來數十億美元的不必要的印刷、郵資和人員成本,以及組織在客戶和供應商中信譽的持續侵蝕和無法做出明智決策的能力。

丹妮特·麥吉爾維以結合了理解資訊質量的概念框架和改善技術和指導的方法,提出了一種系統性、經過驗證的改善數據質量的方法。這個十步驟方法適用於所有類型的數據和組織。

* 包括眾多模板、詳細示例和執行每個步驟的實用建議。
* 以易於使用的格式進行快速參考,突出關鍵概念和定義、重要檢查點、溝通活動和最佳實踐。
* 附帶網站提供多個數據質量資源的鏈接,包括文本中提供的許多計劃和信息收集模板的快速摘要、十步驟方法論的關鍵思想以及其他在線工具和信息。